StatsD
StatsD is a network daemon for statistics aggregation and metric tracking. It listens for metrics over UDP or TCP, aggregates the metrics, and flushes them to backend services like Graphite.
metrics
monitoring
statistics
aggregation
StatsD: Network Daemon for Statistics Aggregation and Metric Tracking
StatsD is a network daemon for statistics aggregation and metric tracking. It listens for metrics over UDP or TCP, aggregates the metrics, and flushes them to backend services like Graphite.
What is StatsD?
StatsD is a network daemon for statistics aggregation and metric tracking. It listens for metrics over UDP or TCP, aggregates the metrics in memory, and periodically flushes them to a backend service like Graphite or InfluxDB.
Some key features of StatsD:
- Metrics aggregation - StatsD aggregates similar metrics to reduce load on the backend.
- Counters and timers - Supports counter and timing metrics out of the box.
- Flexible backend - Can send metrics to Graphite, InfluxDB, Datadog and more backends.
- Extensibility - Many plugins available to extend functionality.
- High performance - Written in Node.js for high throughput.
- Simple setup - Easy to install and configure with npm.
StatsD is useful for tracking metrics like request rates, latency, error rates etc. in production systems. It's a core component of monitoring stacks to visualize trends and alerts on metrics.
StatsD Features
Features
- Aggregates metrics and counts from application servers
- Supports pluggable backends like Graphite for storage
- Provides APIs for collecting metrics from applications
- Calculates metrics like rates, timers, histograms
- Scales horizontally with multiple StatsD instances
Pricing
- Open Source
Pros
Lightweight and high performance
Easy integration with applications
Flexible configuration and extensibility
Real-time metrics collection and aggregation
Horizontal scalability
Cons
Loss of metrics possible with UDP transport
Additional overhead compared to in-app metrics
Configuration can be complex for advanced use cases
Limited built-in visualization capabilities
Official Links
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